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. The department has strong groups in a range of areas including algorithms, data science, machine learning and AI, mobile and distributed systems, secure systems, software engineering, computing education research
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An exciting opportunity has arisen to join Library & Learning Services as we recruit for two part‑time Library Assistant positions. Reporting to the User Services Supervisor, the successful
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Adversarial Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant
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the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres of technology, economy and our everyday life. Machines perform comparably to, or even surpass
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water-NanoSIMS assay), and process measurements. This is part of your personality: We are looking for a highly motivated candidate with an excitement and enthusiasm for soil microbiology and for learning
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underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https
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aims as outlined in the University Strategy https://www.qmul.ac.uk/strategy-2030/ About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously
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see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/economics/socialvalueofelectricalnetworkinvestment/ Study modes eligibility: Full-time Fee Status: Project
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School eligibility criteria apply, see full advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/managementscience/ai-augmentedgroupmodelbuilding/ Study modes
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who we are: http://www.kent.ac.uk/about/ Please see the links below to view the full job description and to apply for this post. For further information regarding the application process, please contact